5 citations · 10 across the 3 of their papers we have counts for
3 papers
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
Sophie Gruenbacher, Mathias Lechner, Ramin Hasani +4
We introduce a new stochastic verification algorithm that formally quantifies the behavioral robustness of any time-continuous process formulated as a continuous-depth model. Our a…
On The Verification of Neural ODEs with Stochastic Guarantees
Sophie Gruenbacher, Ramin Hasani, Mathias Lechner +3
We show that Neural ODEs, an emerging class of time-continuous neural networks, can be verified by solving a set of global-optimization problems. For this purpose, we introduce Sto…
Lagrangian Reachtubes: The Next Generation
Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner +3
We introduce LRT-NG, a set of techniques and an associated toolset that computes a reachtube (an over-approximation of the set of reachable states over a given time horizon) of a n…